Data Layer Engineer

SOSi • Doral, FL

4d • Onsite

About The Position

This position is contingent upon contract award. The Data Layer Engineer will design and manage a modular data layer architecture that supports scalable ingestion, transformation, and serving of geospatial and structured data across containerized environments. This role involves developing and optimizing ETL pipelines for real-time and batch processing of mission-relevant data, ensuring integration with both ESRI and third-party analytic services. The engineer will also implement metadata management solutions (tagging, schema validation, indexing) to improve lineage tracking and facilitate governance alignment with IL4/IL5 controls, and manage data access enforcement mechanisms (RBAC policies, encryption controls) consistent with NIST 800-53 Rev. 5, FedRAMP, and DoD cybersecurity mandates. A key deliverable will be submitting the Data Layer Integration & Optimization Report, detailing Kubernetes performance benchmarks related to data lake interaction, data lifecycle strategies for containerized environments, and cloud resource optimization recommendations.

Requirements

• Active TS-SCI Clearance.
• Bachelor's degree in Data Management, Information Science, Computer Science, or a related field, or five (5) years of equivalent experience in data governance.
• Demonstrated experience in developing and managing data governance frameworks, implementing metadata and data cataloging solutions, and ensuring compliance with DoD and IC data security policies.
• Experience with tools such as such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview is required.
• Possess the knowledge and capability to design, implement, and optimize data transformation workflows for geospatial and non-geospatial datasets.
• Personnel must be proficient in ETL (Extract, Transform, Load) processes, data structuring, and schema management, with expertise in ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services.
• Strong understanding of databases (PostgreSQL/PostGIS, SQL Server, NoSQL), cloud storage solutions (AWS S3, Azure Blob, Google Cloud Storage), and Kubernetes-hosted geospatial applications is required.

Nice To Haves

• Certified Data Management Professional (CDMP)
• DAMA Certified Data Governance Professional (DGSP)
• Microsoft Certified: Azure Data Engineer Associate

Responsibilities

• Design and manage a modular data layer architecture that supports scalable ingestion, transformation, and serving of geospatial and structured data across containerized environments.
• Develop and optimize ETL pipelines for real-time and batch processing of mission-relevant data, ensuring integration with both ESRI and third-party analytic services.
• Implement metadata management solutions—such as tagging, schema validation, and indexing—to improve lineage tracking and facilitate governance alignment with IL4/IL5 controls.
• Manage data access enforcement mechanisms, including RBAC policies and encryption controls, consistent with NIST 800-53 Rev. 5, FedRAMP, and DoD cybersecurity mandates.
• Submit the Data Layer Integration & Optimization Report, detailing Kubernetes performance benchmarks related to data lake interaction, data lifecycle strategies for containerized environments, and cloud resource optimization recommendations.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior